DocumentCode
3413442
Title
Compressive direction finding with robust sparsity prior
Author
Zhao, Guanghui ; Shen, Fangfang ; Wang, Zhengyang ; Shi, Guangming
Author_Institution
Sch. of Electron. Eng., Xidian Univ., Xi´´an, China
Volume
2
fYear
2011
fDate
24-27 Oct. 2011
Firstpage
1429
Lastpage
1432
Abstract
In this paper, a novel compressive sensing (CS) model is proposed for the robust direction finding problem. A new distribution prior with enhanced sparsity constraint is considered in the proposed CS framework. The simulation results as well as the real data processing exhibit its great superiority than many other spectrum estimation methods especially under the highly-corrupted condition.
Keywords
data compression; direction-of-arrival estimation; radio direction-finding; compressive direction finding; compressive sensing; enhanced sparsity constraint; real data processing; robust sparsity prior; spectrum estimation; Arrays; Compressed sensing; Data models; Estimation; Radar; Signal to noise ratio; Compressive Sensing; Direction finding; Enhanced Sparsity constraint;
fLanguage
English
Publisher
ieee
Conference_Titel
Radar (Radar), 2011 IEEE CIE International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4244-8444-7
Type
conf
DOI
10.1109/CIE-Radar.2011.6159828
Filename
6159828
Link To Document